1 citations · 2 across the 4 of their papers we have counts for
4 papers
Domain Generalization by Rejecting Extreme Augmentations
Masih Aminbeidokhti, Fidel A. Guerrero Peña, Heitor Rapela Medeiros +3
Data augmentation is one of the most effective techniques for regularizing deep learning models and improving their recognition performance in a variety of tasks and domains. Howev…
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information
Heitor Rapela Medeiros, Fidel A. Guerrero Pena, Masih Aminbeidokhti +3
A powerful way to adapt a visual recognition model to a new domain is through image translation. However, common image translation approaches only focus on generating data from the…
Re-basin via implicit Sinkhorn differentiation
Fidel A. Guerrero Peña, Heitor Rapela Medeiros, Thomas Dubail +3
The recent emergence of new algorithms for permuting models into functionally equivalent regions of the solution space has shed some light on the complexity of error surfaces, and…
Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras
Thomas Dubail, Fidel Alejandro Guerrero Peña, Heitor Rapela Medeiros +3
In intelligent building management, knowing the number of people and their location in a room are important for better control of its illumination, ventilation, and heating with re…